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micca - MICrobial Community Analysis

Project description

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micca (MICrobial Community Analysis) is a software pipeline for the processing of amplicon sequencing data, from raw sequences to OTU tables, taxonomy classification and phylogenetic tree inference. The pipeline can be applied to a range of highly conserved genes/spacers, such as 16S rRNA gene, Internal Transcribed Spacer (ITS) and 28S rRNA.

For more information, visit http://micca.org/.

Key features

  • supports single-end (Roche 454, Illumina MiSeq/HiSeq ,Ion Torren) as well overlapping paired-end reads (Illumina MiSeq/HiSeq);
  • multithread de novo greedy clustering as well closed-reference and open-reference OTU picking protocols are available;
  • state-of-the-art taxonomic classification algorithms are available (RDP and consensus-based classifier);
  • fast (multithread) and and memory efficient implementation of the NAST multiple sequence alignment (MSA);
  • filter low quality sequences according to the maximum allowed expected error (EE) rate %;
  • simple, easy to use.

Citing micca

Davide Albanese, Paolo Fontana, Carlotta De Filippo, Duccio Cavalieri and Claudio Donati. MICCA: a complete and accurate software for taxonomic profiling of metagenomic data. Scientific Reports 5, Article number: 9743 (2015), doi:10.1038/srep09743. Link.

micca wraps third party software packages and these should be cited if they are used:

  • VSEARCH used in classify, filter, mergepairs, otu and msa commands
  • MUSCLE (doi: 10.1093/nar/gkh340) used in msa and tree commands
  • FastTree (doi: 10.1371/journal.pone.0009490) used in the tree command
  • Cutadapt (doi: 10.14806/ej.17.1.200) used in the trim command
  • RDP classifier (doi:10.1128/AEM.00062-07) used in the classify command

Project details


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1.7.0

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1.6.2

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1.2.0

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1.1.0

This version
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1.0.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
micca-1.0.0.tar.gz (3.8 MB) Copy SHA256 hash SHA256 Source None Mar 25, 2016

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